AI Engineer II, Go-To-Market

Are you excited to revolutionize how AI transforms the way go-to-market teams operate at scale? Do you enjoy designing intelligent workflows and automation that remove friction from Sales, Marketing, and Customer Experience processes? Are you motivated by building AI-powered tooling that directly accelerates revenue and unlocks team productivity? If so, we invite you to be a part of our innovative team.

At Ridgeline, the AI Leverage Engineering team focuses on internal AI initiatives that amplify productivity and velocity across the company. As an AI Engineer II focused on go-to-market, you will design and build AI-powered automations, copilots, and workflows that improve how our revenue teams operate. You will partner closely with Sales, Marketing, Customer Experience, Product, and Operations to integrate systems, enhance data flows, and deliver scalable solutions that drive measurable business impact. Our team of engineers are building with cutting-edge technologies—like Claude Code and Cursor—in a fast-moving, creative, progressive work environment.

At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture.If this excites you, we’d love to meet you!

You must be work authorized in the United States without the need for employer sponsorship.

The impact you will have:

• Build AI-powered automations, copilots, and agents that enhance Sales, Marketing, and Customer Experience workflows
• Design and implement scalable infrastructure for routing, enrichment, signaling, and lifecycle automation across GTM systems
• Partner directly with cross-functional stakeholders to understand workflows, identify friction points, and deliver high-impact solutions
• Develop and maintain data pipelines and strategies that improve data quality, accessibility, and reliability across GTM systems
• Ensure reliability, scalability, and observability across all AI-driven workflows and integrations
• Translate business needs into technical solutions and lead projects from concept through deployment
• Collaborate with RevOps and business partners to define success metrics and ensure measurable impact
• Evaluate and integrate emerging AI tools and technologies to continuously improve the GTM tech stack
• Leverage modern AI development tools to accelerate build cycles and improve solution quality

What we look for:

• 2+ years of technical experience in data science, technical product management, engineering, consulting with scripting, or similar fields
• Ability to analyze business workflows and translate them into scalable, practical technical solutions
• Demonstrated experience delivering automation or tooling with measurable business impact
• Experience working directly with end users to uncover needs and iterate on solutions
• Proficiency in Python or similar programming languages
• Familiarity with APIs, AI tools such as GPT or Claude, and modern data tooling or warehousing concepts
• Strong problem-solving and analytical skills with the ability to navigate ambiguity
• Clear and effective communication skills across technical and non-technical audiences
• Curiosity and willingness to learn new technologies and deepen domain expertise

Bonus:

• Experience with CRM platforms or GTM systems
• Background in Sales, Marketing, or Customer Experience workflows
• Familiarity with LLMs, RAG architectures, or AI application development
• Experience building internal developer tools or platforms
• Exposure to enterprise productivity tools and large-scale operational environments

Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.

Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.

Compensation and Benefits

The typical starting salary range for new hires in this role is $128,000-$150,500. In select locations (including the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.

The typical starting salary range for this role in the select locations listed above is: $140,500-$165,500. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.

As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.

In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.

#LI-Hybrid